نتایج جستجو برای: desired accuracy

تعداد نتایج: 405928  

Ataollah Askari Hemmat Hassan Jamali

In this paper we will present an adaptive wavelet scheme to solvethe generalized Stokes problem. Using divergence free wavelets, theproblem is transformed into an equivalent matrix vector system, thatleads to a positive definite system of reduced size for thevelocity. This system is solved iteratively, where the applicationof the infinite stiffness matrix, that is sufficiently compressible,is r...

Journal: :Canadian Journal of Soil Science 2011

Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...

2002
Srinivasan Parthasarathy

In data mining, sampling has often been suggested as an effective tool to reduce the size of the dataset operated at some cost to accuracy. However, this loss to accuracy is often difficult to measure and characterize since the exact nature of the learning curve (accuracy vs. sample size) is parameter and data dependent, i.e., we do not know apriori what sample size is needed to achieve a desir...

Journal: :Pharmacotherapy 2013
Stacy S Shord Terry L Schwinghammer Melissa Badowski Julie Banderas Michael E Burton Christopher A Chapleau Jason C Gallagher Gregory Matsuura Sara E Parli Nancy Yunker

The 2012 American College of Clinical Pharmacy (ACCP) Certification Affairs Committee was charged with developing guidelines for the desired professional development pathways for clinical pharmacists. This document summarizes recommendations for postgraduate education and training for graduates of U.S. schools and colleges of pharmacy and describes the preferred pathways for achieving, demonstr...

2017
Tarique Siddiqui John Lee Albert Kim Edward Xue Xiaofo Yu Sean Zou Lijin Guo Changfeng Liu Chaoran Wang Karrie Karahalios Aditya G. Parameswaran

Data exploration and analysis, especially for non-programmers, remains a tedious and frustrating process of trial-and-error—data scientists spend many hours poring through visualizations in the hope of finding those that match desired patterns. We demonstrate zenvisage, an interactive data exploration system tailored towards “fastforwarding” to desired trends, patterns, or insights, without muc...

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